Results 11 to 20 of about 5,462,613 (380)

An Early Myelosuppression in the Acute Mouse Sepsis Is Partly Outcome-Dependent

open access: yesFrontiers in Immunology, 2021
Adult hematopoietic stem and progenitor cells (HSPCs) respond to bacterial infections by expansion to myeloid cells. Sepsis impairs this process by suppressing differentiation of stem cells subsequently contributing to an ineffective immune response ...
Tomasz Skirecki   +6 more
doaj   +1 more source

A gain and dynamic range independent index to quantify spillover spread to aid panel design in flow cytometry

open access: yesScientific Reports, 2021
In conventional flowcytometry one detector (primary) is dedicated for one fluorochrome. However, photons usually end up in other detectors too (fluorescence spillover).
Debajit Bhowmick   +4 more
doaj   +1 more source

A UV‐C LED‐based unit for continuous decontamination of the sheath fluid in a flow‐cytometric cell sorter

open access: yesEngineering in Life Sciences, 2022
Aseptic cell sorting is challenging, especially when a flow‐cytometric cell sorter is not operated in a sterile environment. The sheath fluid system of a cell sorter may be contaminated with germs such as bacteria, yeasts, viruses, or fungi.
Jenny Kirsch   +6 more
doaj   +1 more source

Flow Cytometry: An Overview [PDF]

open access: yesCurrent Protocols in Immunology, 2018
AbstractFlow cytometry is a technology that provides rapid multi‐parametric analysis of single cells in solution. Flow cytometers utilize lasers as light sources to produce both scattered and fluorescent light signals that are read by detectors such as photodiodes or photomultiplier tubes.
K. McKinnon
semanticscholar   +4 more sources

OMIP‐069: Forty‐Color Full Spectrum Flow Cytometry Panel for Deep Immunophenotyping of Major Cell Subsets in Human Peripheral Blood

open access: yesCytometry Part A, 2020
This 40‐color flow cytometry‐based panel was developed for in‐depth immunophenotyping of the major cell subsets present in human peripheral blood. Sample availability can often be limited, especially in cases of clinical trial material, when multiple ...
Lily M. Park, J. Lannigan, M. Jaimes
semanticscholar   +1 more source

Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry [PDF]

open access: yes, 2019
Deep learning has achieved spectacular performance in image and speech recognition and synthesis. It outperforms other machine learning algorithms in problems where large amounts of data are available.
Chen, Claire Lifan   +5 more
core   +2 more sources

Flow cytometric characterization and clinical outcome of CD4+ T-cell lymphoma in dogs: 67 cases. [PDF]

open access: yes, 2014
BackgroundCanine T-cell lymphoma (TCL) is conventionally considered an aggressive disease, but some forms are histologically and clinically indolent. CD4 TCL is reported to be the most common subtype of TCL.
Avery, AC   +8 more
core   +2 more sources

ROR1 Flow Cytometry [PDF]

open access: yesBIO-PROTOCOL, 2013
ROR1 is a receptor tyrosine kinase family member studied for its roles in development and cancer. Here we describe a protocol for analysis of ROR1 surface expression in acute lymphoblastic leukemia immortalized cell lines by flow cytometry.
Jeffrey W. Tyner, Vincent T Bicocca
openaire   +4 more sources

Detection of Central Nervous System Infiltration by Myeloid and Lymphoid Hematologic Neoplasms Using Flow Cytometry Analysis: Diagnostic Accuracy Study

open access: yesFrontiers in Medicine, 2018
IntroductionInfiltration of the central nervous system (CNS) by hematologic or lymphoid malignant cells can cause extensive neurological damage, be progressive and fatal.
Laiz Cameirão Bento   +13 more
doaj   +1 more source

GenePattern flow cytometry suite [PDF]

open access: yes, 2013
Background: Traditional flow cytometry data analysis is largely based on interactive and time consuming analysis of series two dimensional representations of up to 20 dimensional data.
Barsky, Aaron   +13 more
core   +1 more source

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